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onathan Haskel is Professor of Economics at Imperial College Business School, Imperial College London and Director of the Doctoral Programme at the School. He was previously Professor and Head of Department at the Department of Economics, Queen Mary, University of London. He has taught at the University of Bristol and London Business School and been a visiting professor at the Tuck School of Business, Dartmouth College, USA; Stern School of Business, New York University, USA; and visiting researcher at the Australian National University.
He is an elected member of the Conference on Research in Income and Wealth (CRIW) and a research associate of the Centre for Economic Policy Research, the Centre for Economic Performance, LSE, and the IZA, Bonn.
Since September 2015, he has been a member of the Financial Conduct Authority Competition Decisions Committee and the Payment System Regulator Enforcement and Competition Decisions Committee.
Since 1st February 2016, he has been a non-Executive Director of the UK Statistics Authority.
Between 2001-2010 was a Member, Reporting Panel of the Competition Commission (now the Competition and Markets Authority), on market inquiries into Mobile Phones, Home Credit and Airports, and the EMAP/ABI merger.
He has been on the editorial boards of Economica, Journal of Industrial Economics and Economic Policy.
Between 2013 and 2016, he was an elected member of the Council of the Royal Economic Society and between November 2012 and December 2015, a member of the "Research, Innovation, and Science Policy Experts" (RISE) high level group advising the European Commissioner for Research, Innovation, and Science on policy.
Research Interests
My main research interests are productivity, innovation, intangible investment and growth. I currently study (a) how much firms investment in “intangible” or "knowledge" assets, such as software, R&D and new business processes (b) how much such investment contributes to economic growth as whole and (c) what public policy implications there might be, especially for science policy. This work uses a mix of data at the levels of company, individual, industry and whole economy.
Source: Imperial College London
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